Update parquet files

.gitattributes

@@ -14,3 +14,4 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+default/klue-tc-dev-tsv-train.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +0,0 @@
-This is a in-house development version of KLUE Topic Classification benchmark, as the test split is not released by the KLUE team.
-
-We randomly split the original validation set (9,107 instances) into in-house validation set (5,107 instances) and the in-house test set (4,000 instances).

data/label.txt

@@ -1,7 +0,0 @@
-정치
-세계
-IT과학
-스포츠
-사회
-경제
-생활문화

default/klue-tc-dev-tsv-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc16d56c2232ad2086c3e0fd0fac334a7f3aca2e36349abf631ffd05c085071d
+size 2566827

klue-tc-dev-tsv.py

@@ -1,55 +0,0 @@
-from __future__ import absolute_import, division, print_function
-import datasets
-_URL = "data/"
-_URLs = {
-    "train": _URL + "train.tsv",
-    "valid": _URL + "valid.tsv",
-    "test": _URL + "test.tsv",
-}
-
-
-class KlueTC(datasets.GeneratorBasedBuilder):
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="KLUE Topic Classification (Dev Split)",
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=['정치', '세계', 'IT과학', '스포츠', '사회', '경제', '생활문화']),
-                }
-            ),
-            supervised_keys=None,
-            license="",
-            homepage="",
-            citation="",
-        )
-        
-    def _split_generators(self, dl_manager):
-        downloaded_files = dl_manager.download_and_extract(_URLs)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": downloaded_files["train"],
-                }
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": downloaded_files["valid"],
-                }
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": downloaded_files["test"],
-                }
-            ),
-        ]
-        
-    def _generate_examples(self, filepath):
-        with open(filepath, "r", encoding='UTF-8') as f:
-            for idx, line in enumerate(f):
-                text, label = line.split("\t")
-                yield idx, {"text": text.strip(), "label": label.strip()}